[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"workflow-asset-7368bde3":3,"seo:featured-workflow:7368bde3-4f09-11f1-9bc6-00163e2b0d79:zh":84,"workflow-related-asset-7368bde3-7368bde3-4f09-11f1-9bc6-00163e2b0d79":85},{"id":4,"uuid":5,"slug":6,"title":7,"description":8,"author_id":9,"author_name":10,"author_avatar":11,"token_estimate":12,"time_saved":12,"model_used":13,"fork_count":12,"vote_count":12,"view_count":12,"parent_id":12,"parent_uuid":13,"lang_type":14,"steps":15,"tags":22,"has_voted":28,"visibility":18,"share_token":13,"is_featured":12,"content_hash":29,"asset_kind":30,"target_tools":31,"install_mode":35,"entrypoint":19,"risk_profile":36,"dependencies":38,"verification":44,"agent_metadata":47,"agent_fit":60,"trust":72,"provenance":81,"created_at":83,"updated_at":83},3659,"7368bde3-4f09-11f1-9bc6-00163e2b0d79","asset-7368bde3","MiroFish — Universal Swarm Intelligence Prediction Engine","An open-source swarm intelligence engine that uses multi-agent simulation and knowledge graphs to predict trends in social, financial, and public opinion domains.","8a910e34-3180-11f1-9bc6-00163e2b0d79","Script Depot","https:\u002F\u002Ftokrepo.com\u002Fapple-touch-icon.png",0,"","en",[16],{"id":17,"step_order":18,"title":19,"description":13,"prompt_template":20,"variables":13,"depends_on":21,"expected_output":13},4233,1,"MiroFish Overview","# MiroFish — Universal Swarm Intelligence Prediction Engine\n\n## Quick Use\n```bash\ngit clone https:\u002F\u002Fgithub.com\u002F666ghj\u002FMiroFish.git\ncd MiroFish\npip install -r requirements.txt\npython main.py --task \"predict tech trends Q3 2025\"\n```\n\n## Introduction\nMiroFish is an open-source swarm intelligence engine that coordinates multiple LLM agents to analyze data, build knowledge graphs, and generate predictions. It applies multi-agent simulation to domains like financial forecasting, public opinion analysis, and trend prediction.\n\n## What MiroFish Does\n- Coordinates swarms of specialized agents to collaboratively analyze complex datasets\n- Builds and queries knowledge graphs to surface relationships in unstructured data\n- Generates predictions for financial markets, social trends, and public opinion shifts\n- Provides structured reports with confidence scores and supporting evidence\n- Supports custom prediction tasks defined through natural language prompts\n\n## Architecture Overview\nMiroFish uses a multi-agent architecture where specialized agents (data collector, analyst, predictor, critic) communicate through a shared knowledge graph. The orchestration layer distributes tasks, aggregates agent outputs using swarm consensus algorithms, and produces a final prediction with a confidence interval. The system uses LLM backends for reasoning and Python for data processing.\n\n## Self-Hosting & Configuration\n- Install via pip with Python 3.9+ and configure LLM API keys in environment variables\n- Supports OpenAI, Anthropic, and local model backends through a unified adapter\n- Knowledge graph storage defaults to a local SQLite database; PostgreSQL optional for scale\n- Custom data connectors can be added for proprietary data sources\n- GPU not required for inference; training custom agents is optional\n\n## Key Features\n- Swarm consensus mechanism aggregates diverse agent perspectives into robust predictions\n- Dynamic knowledge graph construction from unstructured text and structured data\n- Multi-domain support covering finance, social media, public policy, and technology trends\n- Confidence scoring with explainable reasoning chains for each prediction\n- Agent memory enables learning from past prediction accuracy across sessions\n\n## Comparison with Similar Tools\n- **TradingAgents** — focused on financial trading; MiroFish handles broader prediction domains\n- **CrewAI** — general multi-agent orchestration; MiroFish adds swarm consensus and knowledge graphs\n- **AutoGen** — multi-agent conversations; MiroFish specializes in structured prediction workflows\n- **LangGraph** — agent graph framework; MiroFish provides a complete prediction application on top\n\n## FAQ\n**Q: What types of predictions can MiroFish make?**\nA: Financial trends, social media sentiment shifts, technology adoption curves, and custom domains.\n\n**Q: Does it require real-time data feeds?**\nA: No. MiroFish works with both historical datasets and real-time data connectors.\n\n**Q: How does swarm consensus differ from a single agent?**\nA: Multiple agents analyze independently, then consensus algorithms weight and merge their outputs for higher accuracy.\n\n**Q: Can I add custom agent types?**\nA: Yes. 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